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Filtering by: Creator Li, Lin Remove constraint Creator: Li, Lin Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.)

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  • Destabilization of a Stratified Shear Layer by Ambient Turbulence

    Creator:
    Li, Lin
    Abstract:
    A small eddy viscosity or mass diffusivity that varies with height has been found to have unexpected effects on the Kelvin-Helmholtz (KH) instability of a stably stratified shear layer near the neutral stability boundary. In particular, varying viscosity can increase the growth rate of the instability in contrast to the...
    Resource Type:
    Masters Thesis
    Full Text:
    OF Lin Li for the degree of Master of Science in Physics presented on December 18, 2018

  • Composition of pectic substances in Selva strawberry (Fragaria x ananassa Duch.)

    Creator:
    Lin, Ben-lin
    Abstract:
    Pectic substances in the cell wall have long thought to be responsible for the textural changes in fruit during ripening and senescence. Compositional variation within the pectic macromolecules could affect the external characteristics of the fruit. Strawberries undergo adverse quality changes such as softening and juice loss after freezing and...
    Resource Type:
    Masters Thesis
    Full Text:
    sister Li-Yuen Lin for their unfailing love and sharing. Thank you Lord... for everything. TABLE

  • Study of Garnet Type Electrolyte Li₇La₃Zr₂O₁₂ Structure and Electrochemical Performance

    Creator:
    Wang, Yan
    Abstract:
    Cubic phase Li₇La₃Zr₂O₁₂ (LLZO) is a promising solid electrolyte for all solid-state lithium-ion battery, due to its reasonable ionic conductivity, stable against metallic Li, wide chemical window, and thermal and chemical stability. The main aim of this thesis is to investigate the influences of different synthesis methods on the structure...
    Resource Type:
    Masters Thesis
    Full Text:
    metallic Li, wide chemical window, and thermal and chemical stability. The main aim of this thesis is

  • Generalized Chip Formation and Thermal Dynamics of Modulated Turning

    Creator:
    Ozdemir, Mert
    Abstract:
    Modulation assistance is widely employed to improve chip management in turning. This process is also known as modulated turning. Modulated turning transforms continuous cutting into intermittent cutting by periodically disengaging the tool tip from the workpiece, resulting in the generation of short, easily managed chips. This novel method improves the...
    Resource Type:
    Masters Thesis

  • Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

    Creator:
    Khorram, Saeed
    Abstract:
    In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: Fuxin Li In this thesis, we introduce a novel Explanation Neural Network (XNN) to

  • Towards Annotation-Efficient Video Representation Learning

    Creator:
    Patravali, Jay Sanjay
    Abstract:
    Labeling videos is costly, time-consuming and tedious. These costs can escalate in applications such as medical diagnosis or autonomous driving where we need domain expertise for annotation. Few-shot action recognition aims to solve this problem by annotation-efficient learning mechanisms. This thesis presents MetaUVFS as the first Unsupervised Meta-learning algorithm for...
    Resource Type:
    Masters Thesis
    Full Text:
    -Efficient Video Representation Learning Abstract approved: Fuxin Li Labeling videos is costly, time

  • Video Analysis : Techniques for Semi-Supervised Video Object Instance Segmentation and Tracking-by-Detection in the Wild

    Creator:
    Firl, Alrik K.
    Abstract:
    This thesis consists of two major components. The first part is concerned with video object instance segmentation (VOS), which is the task of assigning per-pixel labels perframe of a video sequence to indicate foreground object instance membership, given the first frame ground truth mask. VOS has myriad applications, from video...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: Fuxin Li This thesis consists of two major components. The first part is concerned

  • Deep Segmentation in Plant Phenomics

    Creator:
    Kaur, Damanpreet
    Abstract:
    The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
    Resource Type:
    Masters Thesis
    Full Text:
    Plant Phenomics Abstract approved: Fuxin Li The abilities of plant biologists to characterize the

  • A new method of making particleboard with a formaldehyde-free soy-based adhesive

    Creator:
    Prasittisopin, Lapyote
    Abstract:
    Particleboard is widely used for making bookshelf, furniture, cabinets and many other interior products. At present, particleboard is mainly produced with wood particles and urea-formaldehyde (UF) resins. The emission of carcinogenic formaldehyde in the production and use of particleboard has generated an urgent need for development of a formaldehyde-free wood...
    Resource Type:
    Masters Thesis
    Full Text:
    : __________________________________________________________ Kaichang Li Particleboard is widely used for making bookshelf, furniture, cabinets and many

  • Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

    Creator:
    Wang, Xinyao
    Abstract:
    Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
    Resource Type:
    Masters Thesis
    Full Text:
    for Robust Face Alignment via Heatmap Regression Abstract approved: Fuxin Li Heatmap regression has